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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 7866
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    Explanations

    the name "Cas" followed by a numerical value, possibly related to different entities or instances

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Cas"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.81
    çīĪ
    -0.74
     guiActiveUn
    -0.67
    ĺħ
    -0.66
    ĨĴ
    -0.66
     bipolar
    -0.65
    ¥ŀ
    -0.65
     margins
    -0.63
     nomine
    -0.63
    ĪĴ
    -0.62
    POSITIVE LOGITS
    imir
    1.24
    anova
    1.09
    illas
    1.05
    bah
    1.03
    nell
    1.02
    abl
    1.01
    hew
    0.98
    hews
    0.94
    abel
    0.94
    ques
    0.94
    Activations Density 0.024%

    No Known Activations